An evaluation of open source serverless computing frameworks
Conference article in proceedings
Proceedings - IEEE 10th International Conference on Cloud Computing Technology and Science, CloudCom 2018
AbstractRecent advancements in virtualization and software architecture have led to the new paradigm of serverless computing, which allows developers to deploy applications as stateless functions without worrying about the underlying infrastructure. Accordingly, a serverless platform handles the lifecycle, execution and scaling of the actual functions; these need to run only when invoked or triggered by an event. Thus, the major benefits of serverless computing are low operational concerns and efficient resource management and utilization. Serverless computing is currently offered by several public cloud service providers. However, there are certain limitations on the public cloud platforms, such as vendor lock-in and restrictions on the computation of the functions. Open source serverless frameworks are a promising solution to avoid these limitations and bring the power of serverless computing to on-premise deployments. However, these frameworks have not been evaluated before. Thus, we carry out a comprehensive feature comparison of popular open source serverless computing frameworks. We then evaluate the performance of selected frameworks: Fission, Kubeless and OpenFaaS. Specifically, we characterize the response time and ratio of successfully received responses under different loads and provide insights into the design choices of each framework.
serverless computing, function-as-a-service, Fission, Kubeless, Openfaas, Performance evaluation
Mohanty , S K , Premsankar , G & Di Francesco , M 2018 , An evaluation of open source serverless computing frameworks . in Proceedings - IEEE 10th International Conference on Cloud Computing Technology and Science, CloudCom 2018 . , 8591002 , IEEE , pp. 115-120 , IEEE International Conference on Cloud Computing Technology and Science , Nicosia , Cyprus , 10/12/2018 . https://doi.org/10.1109/CloudCom2018.2018.00033